| Explaining knowledge distillation by quantifying the knowledge X Cheng, Z Rao, Y Chen, Q Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 131 | 2020 |
| Quantifying the knowledge in a DNN to explain knowledge distillation for classification Q Zhang, X Cheng, Y Chen, Z Rao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5099-5113, 2022 | 22 | 2022 |
| A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging L Ji, Z Rao, SJ Pan, C Lei, Q Chen Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2471-2479, 2024 | | 2024 |
| ENTED: Enhanced Neural Texture Extraction and Distribution for Reference-based Blind Face Restoration YF Lau, T Zhang, Z Rao, Q Chen Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Neural Image Popularity Assessment with Retrieval-augmented Transformer L Ji, CH Park, Z Rao, Q Chen Proceedings of the 31st ACM International Conference on Multimedia, 2427-2436, 2023 | | 2023 |
| Supplementary Material ENTED: Enhanced Neural Texture Extraction and Distribution for Reference-based Blind Face Restoration YF Lau, T Zhang, Z Rao, Q Chen | | |
